Claude-skill-registry code-metrics-analyzer
Calculate code quality metrics - complexity, coverage, maintainability
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/code-metrics-analyzer" ~/.claude/skills/majiayu000-claude-skill-registry-code-metrics-analyzer && rm -rf "$T"
manifest:
skills/data/code-metrics-analyzer/SKILL.mdsource content
Code Metrics Analyzer
Measure code quality through various metrics.
Capabilities
- Calculate cyclomatic complexity
- Measure code coverage
- Analyze lines of code (LOC)
- Count methods/functions per file
- Measure comment density
- Identify complex methods
- Track metrics over time
- Generate quality reports
- Find refactoring candidates
Tools
code_metrics.py - Calculate various code metrics
Metrics Calculated
- Cyclomatic Complexity - Decision point count
- Cognitive Complexity - Mental effort to understand
- LOC - Lines of code (total, code, comments, blank)
- Method Count - Methods per class/file
- Depth of Inheritance - Class hierarchy depth
- Comment Ratio - Comments vs code
- Test Coverage - Percentage tested
Commands
# Analyze project ./code_metrics.py analyze --source-dir PaleoRose # Find complex methods ./code_metrics.py complex --threshold 10 # Generate report ./code_metrics.py report --format html
Output
Code Metrics Summary ==================== Total Files: 104 Total LOC: 15,234 Average Complexity: 4.2 Most Complex Files: 1. XRoseTableController.m (complexity: 28) 2. InMemoryStore.swift (complexity: 22) 3. DocumentModel.swift (complexity: 18) Refactoring Candidates: - XRoseTableController.configureController (complexity: 15) - InMemoryStore.readFromStore (complexity: 12)